• DocumentCode
    1819132
  • Title

    Diagnosis: hypothetical reasoning with a competition-based neural architecture

  • Author

    Wang, Shengrui ; El Ayeb, Bechir

  • Author_Institution
    Fac. de Sci., Sherbrooke Univ., Que., Canada
  • Volume
    1
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    7
  • Abstract
    Diagnosis is an active research area where many diagnostic methods have been proposed. The features that characterize these methods are made explicit in a conventional framework as well as in a neural framework. Specifically, it is shown that each representation type of diagnostic knowledge requires a specific reasoning type whichever framework is adopted, logical or neural. A competition-based neural architecture is proposed to mechanize hypothetical reasoning
  • Keywords
    diagnostic expert systems; inference mechanisms; neural nets; competition-based neural architecture; diagnostic knowledge; diagnostic methods; hypothetical reasoning; reasoning type; Data analysis; Fault trees; Neural networks; Wide area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.287196
  • Filename
    287196